RAMASAMY KANNAN GNANAMURTHY

About

Dr Ramasamy Kannan Gnanamurthy(R.K.Gnanamurthy) born from an Agricultural family at a village in western ghats,Coimbatore,Tamil,India.
Bachelor of Engineering in the field of Electronics and Communication Engineering at Government College of Technology,under Bharathiyar University, Coimbatore.Master of Engineering in the field of Microwave and Optical Engineering ,ACCET,under Madurai Kamaraj University.Doctor of philosophy(Ph.d) in the field of Information and Communication Engineering under Anna University,Chennai.
He is having more than 30 years of experience in the field of Teaching and Research.He is the Life member of Indian Society for Technical Education and Computer Society of India.Fellow of the Institution of Engineers(FIE). He was the Chairman and Member of Board of Studies in Various Universities.His area of specialization are Wireless Sensor networks ,Image processing and Mobile Computing. He guided eleven (11) Doctoral students.

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (41)

• Automated brain tumor segmentation from mri images using morphometric algorithms
  Current Signal Transduction Therapy 2020 DOI: 10.2174/1574362414666190808090823
  +Save
• Cluster based multi layer user authentication data center storage architecture for big data security in cloud computing
  Journal of Internet Technology 2020 DOI: 10.3966/160792642020012101015
  +Save
• A proposed method for the improvement in biometric facial image recognition using document-based classification
  Journal of Supercomputing 2020 DOI: 10.1007/s11227-018-2408-4
  +Save
• A Fuzzy clustering based MRI brain image segmentation using back propagation neural networks
  Cluster Computing 2019 DOI: 10.1007/s10586-017-1613-x
  +Save
• A robust wavelet based decomposition of facial images to improve recognition accuracy in standard appearance based statistical face recognition methods
  Cluster Computing 2019 DOI: 10.1007/s10586-018-1759-1
  +Save
• Analysis and Design of Power Optimized Pipelined Processor Using Micrologic Elements
  Applied Mathematics and Information Sciences 2019 DOI: 10.18576/amis/13s110
  +Save
• Fuzzy Trust Approach for Detecting Black Hole Attack in Mobile Adhoc Network
  Mobile Networks and Applications 2019 DOI: 10.1007/s11036-017-0912-z
  +Save
• HANFIS: A new fast and robust approach for face recognition and facial image classification
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-10-8968-8_8
  +Save
• Message from the conference committee
  Proceedings of the 2nd International Conference on Communication and Electronics Systems, ICCES 2017 2018 DOI: 10.1109/CESYS.2017.8321332
  +Save
• Performance improvement in classification rate of appearance based statistical face recognition methods using SVM classifier
  2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 2017 DOI: 10.1109/ICACCS.2017.8014584
  +Save